Sports analytics and data science : (Record no. 1786)

MARC details
000 -LEADER
fixed length control field 02028cam a2200241 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field MIUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190925124005.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190925s2016 njua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780133886436
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0133886433
040 ## - CATALOGING SOURCE
Original cataloging agency YDXCP
Language of cataloging eng
Description conventions rda
Transcribing agency YDXCP
Modifying agency BTCTA
-- BDX
-- SA$
-- XFF
-- OCLCF
-- UZ0
-- HTC
-- DLC
-- MIUC
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 796.021
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Miller, Thomas W.,
Dates associated with a name 1946-
9 (RLIN) 2205
952 ## - Items
Itemnumber 2144
245 10 - TITLE STATEMENT
Title Sports analytics and data science :
Remainder of title winning the game with methods and models /
Statement of responsibility, etc. Thomas W. Miller.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Jersey :
Name of publisher, distributor, etc. Pearson,
Date of publication, distribution, etc. c2016.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 337 p. :
Other physical details ill. b&w ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 299-328) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Understanding sports markets -- <br/>2. Assessing players -- <br/>3. Ranking teams -- <br/>4. Predicting scores -- <br/>5. Making game-day decisions -- <br/>6. Crafting a message -- <br/>7. Promoting brands and products -- <br/>8. Growing revenues -- <br/>9. Managing finances -- <br/>10. Playing what-if games -- <br/>11. Working with sports data -- <br/>12. Competing on analytics -- <br/>A. Data Science Methods -- <br/>B. Professional Leagues and Teams
520 ## - SUMMARY, ETC.
Summary, etc. This is a complete, practical guide to sports data science and modeling, with examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. Thomas W. Miller, faculty director of Northwestern University’s pioneering Predictive Analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance.<br/><br/>Miller’s modeling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming. Miller illustrates them through realistic case studies, with fully worked examples in both Python and R.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sports
General subdivision Statistical methods
9 (RLIN) 599
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sports
General subdivision Statistics
9 (RLIN) 599
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Marbella International University Centre Marbella International University Centre Library 25/09/2019 3 69.49 2 796.021 MIL win 27/02/2020 25/02/2020 69.49 25/09/2019 Books


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